Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2009.07a
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- Pages.2164.1_2165.1
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- 2009
A Study on the Fire Detection Algorithm for Early Fire Detection of Electrical Fire
전기화재 조기감지를 위한 화재감지알고리즘 연구
- Lee, Bock-Young (Fire Insurers Laboratories of Korea) ;
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Park, Sang-Tae
(Fire Insurers Laboratories of Korea) ;
- Hong, Sung-Ho (Fire Insurers Laboratories of Korea) ;
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Baek, Dong-Hyun
(Kyungwon University)
- Published : 2009.07.14
Abstract
In this study we suggest fire detection algorithm using fuzzy inference with input variables of temperature and smoke density to detect electrical fire of early stage. The algorithm consists of membership function of temperature and smoke density and fire probability. The antecedent part of the algorithm consists of temperature and smoke density, and the consequent part consists of fire possibility. The inference rules of the algorithm is estimated to input temperature and smoke density obtained by real fire. With the help of algorithms using fuzzy inference we may be diagnose electrical fire precisely.
Keywords